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  <title>Description of pcaRandVec</title>
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  <meta name="description" content="Generate random vectors in PCA subspace.">
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<h1>pcaRandVec
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<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>Generate random vectors in PCA subspace.</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function Xr = pcaRandVec( U, mu, vars, k, n, hypershpere, show ) </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> Generate random vectors in PCA subspace.

 Used to generate random vectors from the subspace spanned by the first k
 principal components.  The points generated come from the gaussian
 distribution from within the subspace. Can optionally generate points on
 the subspace that are also on a hypershpere centered on the origin.  This
 may be useful if the original data points were all from a hypershpere --
 for example they were normalized via imNormalize.  Set the optional
 hypershpere flag to 1 to generate points only on the hypersphere.

 USAGE
  Xr = pcaRandVec( U, mu, vars, k, n, [hypershpere], [show] )

 INPUTS
  U           - returned by pca.m
  mu          - returned by pca.m
  vars        - returned by pca.m
  k           - number of principal coordinates to use
  n           - number of points to generate
  hypershpere - [0] generate points on hypersphere (see above)
  show        - [1] figure to use for display (no display if == 0)

 OUTPUTS
  Xr          - resulting randomly generated vectors

 EXAMPLE

 See also <a href="pca.html" class="code" title="function [U,mu,vars] = pca( X )">PCA</a> IMNORMALIZE

 Piotr's Computer Vision Matlab Toolbox      Version 2.0
 Copyright 2014 Piotr Dollar.  [pdollar-at-gmail.com]
 Licensed under the Simplified BSD License [see external/bsd.txt]</pre></div>





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